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    "tags": []
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   "source": [
    "import pandas as pd \n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import xgboost as xgb \n",
    "from sklearn.metrics import mean_squared_error\n",
    "color_pal = sns.color_palette()\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba9c75c1-f0a4-4719-b389-b8f30ea14424",
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   "source": [
    "Outline:\n",
    "- outliers analysis\n",
    "- forecasting horizon explained\n",
    "- ts cross validations\n",
    "- lag features\n",
    "- predicting the future"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a8d997f-2d41-4962-b708-d0b6a10ba0a4",
   "metadata": {},
   "source": [
    "checking git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d50ae16d-2e49-4760-b2b1-682bcdcffbce",
   "metadata": {},
   "outputs": [],
   "source": []
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